Estimating soil bulk density with information metrics of soil texture

Martı́n, Miguel Ángel; Reyes, Miguel; Taguas, F. Javier

doi:10.1016/j.geoderma.2016.09.008

Cited by 64 publications

(34 citation statements)

References 17 publications

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“…This has been achieved for carbon stock hot spots combining soil texture and moisture, with PTFs (Bhatti et al, ), and also with integration of land use and specific management types (Lal, ). Specific investigations to the influence of particle size distribution heterogeneity on soil bulk density values also showed ways of improvement through integration of a Shannon information entropy metric of soil texture in existing PTFs (Martín et al, ). This entropy index and soil texture heterogeneity in general might furthermore be estimated based on general lithological character enhancing the possibility to apply such measures more widely (Cámara et al, ).…”

Section: Challenges For Ptfs In Earth System Sciencementioning

confidence: 99%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

415

297

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Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to complex knowledge rules that relate available soil information to soil properties and variables that are needed to parameterize soil processes. In this paper, we review the existing PTFs and document the new generation of PTFs developed in the different disciplines of Earth system science. To meet the methodological challenges for a successful application in Earth system modeling, we emphasize that PTF development has to go hand in hand with suitable extrapolation and upscaling techniques such that the PTFs correctly represent the spatial heterogeneity of soils. PTFs should encompass the variability of the estimated soil property or process, in such a way that the estimation of parameters allows for validation and can also confidently provide for extrapolation and upscaling purposes capturing the spatial variation in soils. Most actively pursued recent developments are related to parameterizations of solute transport, heat exchange, soil respiration, and organic carbon content, root density, and vegetation water uptake. Further challenges are to be addressed in parameterization of soil erosivity and land use change impacts at multiple scales. We argue that a comprehensive set of PTFs can be applied throughout a wide range of disciplines of Earth system science, with emphasis on land surface models. Novel sensing techniques provide a true breakthrough for this, yet further improvements are necessary for methods to deal with uncertainty and to validate applications at global scale.

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Section: Challenges For Ptfs In Earth System Sciencementioning

confidence: 99%

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Looy

Bouma

Herbst

et al. 2017

Reviews of Geophysics

415

297

View full text Add to dashboard Cite

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“…Samples with inconsistent textural data (the sum of mass texture fractions not agreeing with the total mass) were rejected. The selection criteria used in Martín et al (2017a) were followed. Under these selection criteria, a total of 6240 soil samples were included in the study.…”

Section: The Datasetmentioning

confidence: 99%

“…In applications of this technique, they used sand, silt, and clay fraction contents with size boundaries defined by the USDA textural classification. Another application of data on textural fractions is to compute the information entropy as the metric of the particle size heterogeneity and derive the relationship between the bulk density (BD) and information entropy (IE) (Martín et al, 2017a). Seven textural fractions have been used, for which a strong linear correlation between the respective average values was shown.…”

Section: Introductionmentioning

confidence: 99%

On soil textural classifications and soil-texture-based estimations

et al. 2018

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Abstract. The soil texture representation with the standard textural fraction triplet "sand-silt-clay" is commonly used to estimate soil properties. The objective of this work was to test the hypothesis that other fraction sizes in the triplets may provide a better representation of soil texture for estimating some soil parameters. We estimated the cumulative particle size distribution and bulk density from an entropy-based representation of the textural triplet with experimental data for 6240 soil samples. The results supported the hypothesis. For example, simulated distributions were not significantly different from the original ones in 25 and 85 % of cases when the sand-silt-clay and "very coarse+coarse + medium sand − fine + very fine sand − silt+clay" were used, respectively. When the same standard and modified triplets were used to estimate the average bulk density, the coefficients of determination were 0.001 and 0.967, respectively. Overall, the textural triplet selection appears to be application and data specific.

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“…It is an important characteristic that affects key soil functions such as waterholding capacity, infiltrability and aeration (Mora & Lázaro, 2014). Different factors such as depth, organic matter content and compaction can influence bulk density values (Martín, Reyes, & Taguas, 2017). Soil compaction is a process of densification related to the collapsing of the pores in the soil because of increase in weight or added mechanical pressure which surpasses the soil's resistance (Osuna et al, 2006).…”

mentioning

confidence: 99%

Effects of land use change and seasonal variation in the hydrophysical properties in Vertisols in northeastern Mexico

Yáñez-Díaz

Silva

González‐Rodríguez

et al. 2019

Soil Use and Management

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The impact of the use of natural resources associated with anthropogenic activities has increased evidently, mainly through land use changes which have altered hydrophysical properties of soils. We hypothesized that, in the same soil type (Vertisol), four types of land use system (grassland, agricultural, Eucalyptus plantation and thornscrub) and seasonal variation can modify the soil hydrophysical properties. Results showed significant differences between land use systems and seasons for hydraulic conductivity (K), infiltration capacity (fp) and cumulative infiltration (fc). There were no seasonal differences in soil penetration resistance (SPR), bulk density (ρd) and total porosity (φP). Grassland presented higher values for ρd (1.2 g cm−3) and SPR (5.3 kg cm−2) and lower for K (0.8 × 10−5 cm s−1) and φP (53%), unlike thornscrub. Agriculture presented lower SPR (0.4 kg cm−2), while plantation showed similar values when compared to the thornscrub. Kostiakov infiltration model was fitted to land use infiltration curves, showing differences between land use and season. The values for fp oscillated between 53.6 and 548.8 mm hr−1 and fc ranged from 105.3 to 1,061 mm. The order of the infiltration values goes as follows: agriculture > plantation > thornscrub > grassland. Land use changes in Vertisols induced modification of soil physical properties affecting processes like permeability, soil compaction and water availability.

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Estimating soil bulk density with information metrics of soil texture

Cited by 64 publications

References 17 publications

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

Pedotransfer Functions in Earth System Science: Challenges and Perspectives

On soil textural classifications and soil-texture-based estimations

Effects of land use change and seasonal variation in the hydrophysical properties in Vertisols in northeastern Mexico

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